@@ -37,9 +37,13 @@ Please make sure that you have read the `Dependencies <https://github.com/idiap/
Getting the data
----------------
The data can be downloaded from its original URL (on Voxforge), or by running ``./scripts/download_and_untar.sh``, which takes as input the path in which the data will be stored::
The data can be downloaded from its original URL (on Voxforge), or by running ``./bin/download_and_untar_voxforge.py``, which takes as input the path in which the data will be stored (using ``VOXFORGE_DATABSE`` as default)::
In this package, we design a speaker recognition protocol that uses a **small subset of the english audio files** (only 6561 files) belonging to **30 speakers** randomly selected.
This subset is split into three equivalent parts: Training (10 speakers), Development (10 speakers) and Test (10 speakers) sets.
This package serves as a toy example of speaker recognition database while testing :ref:`bob.spear <bob.spear>`.
This package serves as a toy example of speaker recognition database while testing :ref:`bob.bio.spear <bob.bio.spear>`.
:ref:`bob.spear <bob.spear>` is developed at Idiap_ during its participation to the `NIST SRE 2012 evaluation`_.
:ref:`bob.bio.spear <bob.bio.spear>` is developed at Idiap_ during its participation to the `NIST SRE 2012 evaluation`_.
If you use this package and/or its results, please cite the following publications:
1. The original paper presented at the NIST SRE 2012 workshop:
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@@ -55,11 +55,15 @@ If you use this package and/or its results, please cite the following publicatio
Getting the data
----------------
The original data can be downloaded directly from Voxforge_, or by running ``./scripts/download_and_untar.sh`` that takes as input the path in which the data will be stored:
The original data can be downloaded directly from Voxforge_, or by running ``./bin/download_and_untar_voxforge.py`` which takes as input the path in which the data will be stored (using ``VOXFORGE_DATABSE`` as default)::